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Average Ratings 2 Ratings

Total
ease
features
design
support

Description

Easy Data Transform is a user-friendly tool designed to simplify the process of transforming and cleaning data. It offers a wide range of transformation features, such as splitting columns, merging datasets, handling missing values, and performing statistical analysis—all without the need for coding. Supporting formats like CSV, Excel, and JSON, this software helps professionals quickly clean and organize large datasets, saving time and reducing errors. Ideal for data analysts, researchers, and business professionals, Easy Data Transform provides a fast and efficient way to prepare data for further analysis.

Description

Rapidminer Monarch is a Siemens self-service data preparation platform that enables business users and data teams to extract, clean, transform, and export data without coding. It is built to work with a wide range of sources, including complex PDFs, Excel files, spreadsheets, text reports, databases, and other enterprise systems. The software helps organizations convert unstructured or difficult-to-use information into structured data that can support reporting, analytics, machine learning, and business operations. Rapidminer Monarch is especially useful for teams that regularly reconcile reports, audit data, migrate legacy information, or prepare data from non-tabular files. Its no-code environment allows users to build repeatable workflows through drag-and-drop tools, reducing dependence on manual cleanup and IT support. The platform increases trust by maintaining data lineage, reconciliation configuration, and change histories for every transformation. Users can also access thousands of pre-built apps for systems such as ADP, Dayforce, Fiserv, Visa, Meditech, and SAP. Rapidminer Monarch Server helps centralize, govern, and operationalize data preparation workflows for enterprise-scale deployments. By automating repetitive preparation tasks, Rapidminer Monarch helps teams improve accuracy, speed up analytics, and make better use of data from across the business.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Microsoft Excel Yes 
Rapidminer No 
Rapidminer Knowledge Studio No 
Rapidminer Panopticon No 
Rapidminer SLC No 
Vertica No 

Integrations

Microsoft Excel No 
Rapidminer Yes 
Rapidminer Knowledge Studio Yes 
Rapidminer Panopticon Yes 
Rapidminer SLC Yes 
Vertica Yes 

Pricing Details

$99/user one-time fee
$99+tax per user
Minor version upgrades are free
Deploy on up to 3 computers (PC or Mac)
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Oryx Digital Ltd

Founded

2005

Website

www.easydatatransform.com

Vendor Details

Company Name

Siemens

Founded

1847

Country

Germany

Website

www.siemens.com/en-us/products/rapidminer/monarch/

Product Features

ETL

Data Analysis Yes 
Data Filtering Yes 
Data Quality Control Yes 
Job Scheduling No 
Match & Merge Yes 
Metadata Management No 
Non-Relational Transformations Yes 
Version Control No 

Product Features

Data Cleansing

Address/ZIP Code Cleaning No 
Charting No 
Data Consolidation / ETL No 
Data Mapping No 
Multi Data Format Support No 
Phone/Email Validation No 
Raw Data Ingestion No 
Sample Testing No 
Validation / Matching / Reconciliation No 

Data Preparation

Collaboration Tools Yes 
Data Access Yes 
Data Blending Yes 
Data Cleansing Yes 
Data Governance Yes 
Data Mashup Yes 
Data Modeling Yes 
Data Transformation Yes 
Machine Learning Yes 
Visual User Interface Yes 

ETL

Data Analysis No 
Data Filtering No 
Data Quality Control No 
Job Scheduling No 
Match & Merge No 
Metadata Management No 
Non-Relational Transformations No 
Version Control No 

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